AI models Whitepapers

how to choose the right ai foundation model

Sponsored by: IBM Published By: Research Desk Released: Jul 18, 2024

While most organisations are clear about the outcomes they expect from generative AI, what is not so well understood is the way to go about realizing these outcomes. Different outcomes require differe...

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idc – why developing and deploying ai on workstations makes sense

Sponsored by: Dell Published By: Research Desk Released: Dec 06, 2022

AI has taken off as an important, differentiating capability in all industries, and the hardware required to run AI is rapidly evolving. The technology industry is often very focused on the exponentia...

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the projected tei of explainable ai and model monitoring in ibm cloud pak for data

Sponsored by: IBM Published By: Research Desk Released: Apr 30, 2021

When it comes to acing the data game, your organisation cannot just rely on the skills of your data scientists. You need a smart tool that has the capabilities for explaining, validating, monitoring a...

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identitetshantering: en grund för säkerhet med ”noll förtroende”

Sponsored by: Microsoft Published By: Research Desk Released: Feb 04, 2021

Den traditionella perimeterbaserade säkerhetsmodellen är föråldrad. Istället för att tro att allt bakom företagets brandvägg är säkert, förutsätter Noll förtroende-modellen intrång och e...

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identitätsmanagement: eine grundlage für „zero trust“-sicherheit

Sponsored by: Microsoft Published By: Research Desk Released: Feb 04, 2021

Das herkömmliche, perimeterbasierte Sicherheitsmodell ist veraltet. Statt davon auszugehen, dass die Unternehmensfirewall maximale Sicherheit gewährleistet, verfolgt das Zero-Trust-Modell die Konzep...

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forrester tei on explainable ai on cloud pak for data – new technology: the projecte...

Sponsored by: IBM Published By: Research Desk Released: Oct 21, 2020

What can companies do to ensure that their AI models are trusted and unbiased, and what is the return on investment from developing transparency in AI? IBM Cloud Pak for Data is an integrated data ...

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modelops: how to operationalize the model life cycle

Sponsored by: SAS Published By: Research Desk Released: Oct 14, 2020

The term ModelOps encompasses how analytical models are cycled from data science teams to IT production teams during a regular cadence of deployment and updates— in that sense, sharing similarities ...

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